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Models significantly predicted obesity classification with maximum discriminative ability for morbid-obesity (p = 3.15×10−18).
The models significantly predicted pain and disability at follow-up, but not sick leave.
As shown in Table 5 none of the executive functions models significantly predicted cognitive reappraisal, brooding or reflection.> The previously depressed participants matched never-depressed individuals on all neutral and emotional executive functions tasks.
The predictive properties of the different frailty measures are shown in Table 3.> -wrap-foot> Fofr of the five frailty models significantly predicted death, but only poorly using AUC analysis.
AUC estimates indicated the models significantly predicted overweight and obesity classification with maximum discriminative ability when employing model 3 to predict class III obesity (AUC = 0.750, 95% CI = [0.702, 0.797]).
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The variables in the final regression model significantly predicted HR-AUCg, F = 12.626, p < .001, adj.
The multiple regression model significantly predicted low prevalence accuracy, F 4, 136) = 36.29, p < 0.001, adjusted R 2 = 0.502.
The variables in the final regression model significantly predicted the sAA stress response, F = 8.796, p < .001, and adj.
The multiple regression model significantly predicted the low prevalence target-absent reaction time, F 4, 136) = 19.97, p < 0.001, adjusted R 2 = 0.351.
The model significantly predicted performance on the earth science concept items at post-test, R 2 = .29, F 3, 41) = 5.14, MSE = 2.10, p < .01.01
Multiple and hierarchical regression analyses showed that the TPB model significantly predicted intention to perform both dietary behaviors and intention significantly predicted both behaviors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com